public override void ApplyCrossoverOpr(Chromosome.Chromosome chromosome1, Chromosome.Chromosome chromosome2)
{
int crossoverPoint = GARandom.BoundedRandomInteger(0, Template.DesignVariables.Count - 1);
for (int i = 0; i <= crossoverPoint; i++)
{
double tempGene = chromosome1[i];
chromosome1[i] = chromosome2[i];
chromosome2[i] = tempGene;
}
}
public override void ApplyMutationOpr(Chromosome.Chromosome chromosome)
{
int mutationPosition = GARandom.BoundedRandomInteger(0, Template.DesignVariables.Count);
double gene = 0;
if (Template.DesignVariables[mutationPosition].Type == DesignVariableType.Integer)
{
gene = GARandom.BoundedRandomInteger((int)Template.DesignVariables[mutationPosition].LowerBound, (int)Template.DesignVariables[mutationPosition].UpperBound);
}
else if (Template.DesignVariables[mutationPosition].Type == DesignVariableType.Double)
{
gene = GARandom.BoundedRandomDouble(Template.DesignVariables[mutationPosition].LowerBound, Template.DesignVariables[mutationPosition].UpperBound);
}
else
{
//System.out.println("Invalid Design Variable Type");
//System.exit(1);
}
chromosome[mutationPosition] = gene;
}
public Chromosome(OptimisationTemplate Template, GAParameters gaParameters, bool empty)
{
this.Template = Template;
this.gaParameters = gaParameters;
int noOfDesignVariables = Template.DesignVariables.Count;
genes = new double[noOfDesignVariables];
for (int i = 0; i < noOfDesignVariables; i++)
{
if (Template.DesignVariables[i].Type == DesignVariableType.Integer)
{
if (!empty)
{
genes[i] = GARandom.BoundedRandomInteger((int)Template.DesignVariables[i].LowerBound, (int)Template.DesignVariables[i].UpperBound);
}
else
{
genes[i] = 0.0;
}
}
if (Template.DesignVariables[i].Type == DesignVariableType.Double)
{
if (!empty)
{
genes[i] = GARandom.BoundedRandomDouble(Template.DesignVariables[i].LowerBound, Template.DesignVariables[i].UpperBound);
}
else
{
genes[i] = 0.0;
}
}
}
constraintValues = new double[Template.Constraints.Count];
constraintViolationValues = new double[Template.Constraints.Count];
}
